Senior Software Engineer, Data Processing

Company: Jobgether

Location: Location not specified (Remote)

Type: Contract

Remote: Yes

Posted: 2026-07-03

About this role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Data Processing based in the United States.
This is a high-impact engineering role focused on building the core data processing infrastructure that powers large-scale AI training data systems. You will be responsible for transforming raw, multimodal, high-volume datasets into structured, validated, and AI-ready outputs that can be reliably used downstream. The work sits at the heart of the platform, where ingestion quality directly determines the value of the entire ecosystem. You will design and operate distributed data pipelines handling complex formats such as imaging, audio, video, and text across diverse industries. This role requires strong systems thinking, deep backend and data engineering expertise, and comfort working with ambiguity at scale. You will collaborate closely with product and partner teams in a fast-paced, high-ownership environment where speed, precision, and reliability are critical.


Accountabilities

  • Design, build, and operate scalable data ingestion and processing systems that transform raw multimodal data into structured, validated, AI-ready datasets.
  • Own end-to-end data pipelines, including ingestion, validation, transformation, tracking, and downstream delivery at scale.
  • Develop modality-specific processing logic for complex data types such as medical imaging, audio, video, and unstructured text data.
  • Build reusable parsers, validators, normalization workflows, and internal tooling to standardize and industrialize data processing.
  • Optimize distributed data systems for performance, reliability, throughput, and cost efficiency across large-scale workloads.
  • Diagnose bottlenecks and ensure system robustness as data volume, complexity, and modalities continue to grow.
  • Implement strong data quality, security, and compliance mechanisms, including handling sensitiv...

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